Czech

Not applicable.

Students wishing to enroll in the course should be able to:
- apply the knowledge acquired in the BEL1 and BEL2 courses to define the basic numerical models (static, quasi-static) by means of concentric parameters
- describe the physical model of the electrostatic and magnetostatic problems discussed in physics seminars
- operate a computer at a basic skills level
- use the MATLAB environment
- set up simple algorithms
- understand the mathematical notation of partial differential equations (apply the mathematical methods of difference and differential calculus)

During each teaching block, the students are guided to prepare, analyze, set up, put to operation, and evaluate a numerical model. These activities are supported but not assessed in each session. Each student is led to independently select and explain the use of ANSYS system tools; this procedure is conducted in such a manner that, before the final teaching block, the student is able to prepare and assess the relevant data to build the numerical model. At the following stage, the student will analyze and interpret the results. The classification range applicable to this activity is 0 – 40 points.
Another grading component consists in the final credit test, in which a student can gain 0 – 60 points. The test is designed for the students to demonstrate the knowledge and abilities required to:
- define and describe the assigned problem at a good quality,
- identify the mathematical model and perform its numerical application in the ANSYS system,
- correctly set the boundary and initial conditions,
- assess the accuracy of the obtained solution based on analysis of the results,
- improve the model,
- evaluate the availability of the instruments and explain possible differences in the selected approaches to the numerical model design.
Both components of instruction, namely the lecture and the tutorials, are compulsory. If the absences have been duly communicated to the teacher, any missed lessons can be substituted, usually during the credit week.

The aim of the course is to complement the physics and mathematics-based knowledge of the field at the level of applications, namely selected numerical models of the magnetic field and various problems in electrical engineering. The course has been designed to meet the following objectives:
- develop and practice the knowledge of finite numerical methods
- propose and analyze different approaches to the experimental and numerical modelling of problems related to electrical engineering and electromagnetic fields
- introduce to the students and explain in detail the effectiveness of ANSYS and other programs for the numerical modelling and analysis of simplified and coupled problems formulated by means of selected partial differential equations applicable in electrical engineering.
These objectives are included to enable the students to independently set up, analyze and interpret a numerical model, to assess the validity of the achieved results in a comprehensive manner, and to oppose the arguments used by the submitter in the methods, interpretations, and applications of the ANSYS system or its components. The students are instructed to select conceptually correct procedures for the assigned problem, to anticipate the difficulties that may appear during the solution process, and to estimate the expected numerical error of the obtained analysis. Concrete examples are used to show how to set up or correct a model and check the correctness of the procedure, solution of the model, and interpretation of the results.

The students will acquire deeper knowledge and skills within the numerical modelling of problems in electrical engineering and related interdisciplinary provinces; this knowledge acquisition process is oriented towards computer prototyping. Further, the students will gain command of the methods used for the modelling of electrical problems, and they will use their skills to set up relevant 3D models. In the above-described context, the students will be able to perform the following tasks:
- reveal and discriminate the advantages of parametric and non-parametric modelling
- use a suitable program to propose, design and revise models of simple problems; formulate these problems based on reduced Maxwell’s equations
- interpret the physical and technical parameters of the model; categorize the classification of the model properties; set up and revise coupled problems.
The above-defined skills find wide application in industry and commerce; with respect to teaching purposes, they will enable the students to carry out more intensive theoretical tasks, perform analyses, and create complex models within the follow-up advanced course of computer modelling (MMEM).

Not applicable.

Not applicable.

Dědek L., Dědková J.: Elektromagnetismus. Skripta, VUTIUM, Brno 2000 (CS)
Fiala P., Bachorec T., Kříž T.: Počítačové modelování elektrotechnických zařízení a komponentů, (BMEM), počítačová cvičení, IET/UTEE FEKT v Brně (CS)
KROUTILOVÁ, E.; STEINBAUER, M.; HADINEC, M.; FIALA, P.; BARTUŠEK, K. Numerické modelování nehomogenity v materiálech. ElectroScope - http://www.electroscope.zcu. cz, 2007, roč. 2007, č. 4, s. 1 ( s.)ISSN: 1802- 4564. (CS)

Not applicable.